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A constructicon, i.e., a structured inventory of constructions, essentially aims at documenting functions of lexical and grammatical constructions. Among other parameters, so-called constructional collo-profiles, as introduced by Herbst (2018, 2020), are conclusive for determining constructional meanings. They provide information on how relevant individual words are for construction slots, they hint at usage preferences of constructions and serve as a helpful indicator for semantic peculiarities of constructions. However, even though collo-profiles constitute an indispensable component of constructicon entries, they pose major challengers for constructicographers: For a constructicographic enterprise it is not feasible to conduct collostructional analyses for hundreds or even thousands of constructions. In this article, we introduce a procedure based on the large language model BERT that allows to predict collo-profiles without having to extensively annotate instances of constructions in a given corpus. Specifically, by discussing the constructions X macht Y ADJP (‘x makes Y ADJ’, e.g. he drives him crazy) and N1 PREP N1 (e.g., bumper to bumper, constructions over constructions), we show how the developed automated system generates collo-profiles based on a limited number of annotated instances. Finally, we place collo-profiles alongside other dimensions of constructional meanings included in the German Constructicon.
The internationally renowned conference of the European Association for Lexicography (EURALEX) has taken place every two years for the past 39 years. Last year’s conference, held July 12th–16th, 2022, marked EURALEX’s 20th edition, and more than 200 international participants gathered at Mannheim Palace to discuss current developments, learn about new projects, and present their own work — either in lexicography or in one of the many applied or neighboring disciplines such as corpus and computational linguistics.
This paper deals with a specific type of lexeme, namely binary preposition-noun combinations containing temporal references like am Ende [at (the) end] or für Sekunden [for seconds]. The main characteristic of these combinations is the recurrent internal zero gap. Despite the fact that the omission of the determiner can often be explained by grammatical rules, the zero gaps indicate a higher degree of lexicalization. Therefore, we interpret these expressions as minimal phraseological units with holistic meanings and functions. The corpusdriven exploration of typical context patterns (e.g. using collocation profiles and the lexpan slot filler analysis) shows that a) even such minimal expressions are based on semi-abstract schemes and b) temporal expressions can also fulfill modal or discursive functions, usually with fuzzy borders and overlapping structures. In the case of modalization or pragmatization one can regard such PNs as distinct lexicon entries.
Words originating from shortening, including acronyms and clippings, constitute a treasure trove of insight into phonological grammar. In particular, they serve as an ideal testing ground for Optimality Theory (OT) and its view of grammar as an interaction of markedness constraints, which express (dis-) preferences regarding phonological structure in output forms, and faithfulness constraints, which require output forms to correspond to input structure (Prince and Smolensky 1993). This is because shortenings are characterised by a sharply diminished role of faithfulness, allowing for markedness constraints to make their force felt (“The Emergence of the Unmarked”). This article aims to demonstrate the heuristic value of shortening data for testing the OT model and for shedding light on various controversies in German phonology. A particular concern is to draw attention to the need for properly sorting the shortening data, to identify influences on phonological structure due to internal domain boundaries or to special correspondence effects potentially obscuring the view on the maximally unmarked patterns.
Comprehending conditional statements is fundamental for hypothetical reasoning about situations. However, the online comprehension of conditional statements containing different conditional connectives is still debated. We report two self-paced reading experiments on German conditionals presenting the conditional connectives wenn (‘if’) and nur wenn (‘only if’) in identical discourse contexts. In Experiment 1, participants read a conditional sentence followed by the confirmed antecedent p and the confirmed or negated consequent q. The final, critical sentence was presented word by word and contained a positive or negative quantifier (ein/kein ‘one/no’). Reading times of the two quantifiers did not differ between the two conditional connectives. In Experiment 2, presenting a negated antecedent, reading times for the critical positive quantifier (ein) did not differ between conditional connectives, while reading times for the negative quantifier (kein) were shorter for nur wenn than for wenn. The results show that comprehenders form distinct predictions about discourse continuations due to differences in the lexical semantics of the tested conditional connectives, shedding light on the role of conditional connectives in the online interpretation of conditionals in general.
We investigate the optional omission of the infinitival marker in a Swedish future tense construction. During the last two decades the frequency of omission has been rapidly increasing, and this process has received considerable attention in the literature. We test whether the knowledge which has been accumulated can yield accurate predictions of language variation and change. We extracted all occurrences of the construction from a very large collection of corpora. The dataset was automatically annotated with language-internal predictors which have previously been shown or hypothesized to affect the variation. We trained several models in order to make two kinds of predictions: whether the marker will be omitted in a specific utterance and how large the proportion of omissions will be for a given time period. For most of the approaches we tried, we were not able to achieve a better-than-baseline performance. The only exception was predicting the proportion of omissions using autoregressive integrated moving average models for one-step-ahead forecast, and in this case time was the only predictor that mattered. Our data suggest that most of the language-internal predictors do have some effect on the variation, but the effect is not strong enough to yield reliable predictions.
The question of whether a letter is a grapheme or not is a perennial issue in writing research. The answer depends on which criteria are used to differentiate between letters and graphemes and, ultimately,how the unit ‘grapheme’ is defined. This problem is particularly relevant to complex graphemes, i.e. sequences of letters that behave like a single grapheme in certain respects. Typical for German is the ‹ch›. This paper argues for a scalar concept of graphemes, which compares the grapheme status of each of the units under investigation. For this purpose, new criteria for the identification of complex graphemes are used, which originate from handwriting analysis. There, it is shown that complex graphemes are connected with each other disproportionately often and also have deviating letter forms disproportionately often.
Research on language politics, policy, and planning is of importance to contact linguistics, since political relations between groups of language users, the way in which the use of language(s) is organized, and how language issues are politicized fundamentally shape the political and social conditions under which language varieties are in contact. This chapter first provides a short sketch of how language policy, planning, and politics have so far been conceptualized. Major subfields will be discussed, and then relevant actors and factors in these processes will be introduced. At the end, these aspects will be discussed from a contact linguistic perspective and summarized in a graphic visualization.
Numerous academics and politicians have in recent years contributed to the description and analysis of language policy for the benefit of smaller languages. The present paper tries to add to these by taking up the notion of yet another aspect of politics and language, exemplified by two case studies. The political aspect is the decentralization of parliamentary power for the benefit of minority languages. The two case studies deal with the relationship between the Scottish Parliament and the Gaelic language on the one hand, and between the Norwegian Sarni Parliament, the Sameting, and the Sami language on the other hand. The underlying idea is to consider whether parliamentary bodies may contribute to the empowerment of speakers of minority languages regarding the language of individual choice in as many instances as possible. This applies to any domain of language use, but in particular public bodies, education, and the media, at local, regional and national levels.
In the present contribution, I investigate if and how the English and French editions of the Wiktionary collaborative dictionary can be used as a corpus for real time neology watch. This option is envisaged as a stopgap, when no satisfactory corpus is available. Wiktionary can also prove useful in addition to standard corpus analysis, to minimize the risk of overlooking new coinages and new senses. Since the collaborative dictionary’s quest for exhaustiveness makes the manual inspection of the new additions unreasonable (more than 31,000 English lemmas and 11,000 French lemmas entered the nomenclature in 2020), identifying the possibly relevant headwords is an issue. The solution proposed here is to use Wiktionary revision history to detect the (new or existing) entries that received the greatest number of modifications. The underlying hypothesis is that the most heavily edited pages can help identify the vocabulary related to “hot topics”, assuming that, in 2020, the pandemic-related vocabulary ranks high. I used two measures introduced by Lih (2004), whose aim was to estimate the quality of Wikipedia articles: the so-called rigour (number of edits per page) and diversity (number of unique contributors per page). In the present study, I propose to adapt the rigour and diversity metrics to Wiktionary in order to identify the pages that generated a particular stir, rather than to estimate the quality of the articles. I do not subscribe to the idea that – in Wiktionary – more revisions necessarily produce quality articles (more revisions often produce complete articles). I therefore adopt Lih’s notion of diversity to refer to the number of distinct contributors, but leave out the name rigour when it comes to the number of revisions. Wolfer and Müller-Spitzer (2016) used the two metrics to describe the dynamics of the German and English editions of Wiktionary. One of their findings was that the number of edits per page is correlated with corpus word frequencies. The variation in number of page edits should therefore reflect to some extent the variation of corpus word frequencies. Renouf (2013) established a relationship between the fluctuation of word frequencies in a diachronic corpus and various neological processes. In particular, she illustrated how specific events generate sudden frequency spikes for words previously unseen in the corpus. For instance, Eyjafjallajökull, the – existing – name of an Icelandic glacier, appeared in the corpus when the underlying volcano erupted in 2010 and disrupted air traffic in Europe. In order to check if the same phenomenon occurs when using Wiktionary edits instead of corpus frequencies, I manually annotated the most frequently revised entries (according to various ranking scores) with the binary tag: “related to Covid-19” (yes/no). The annotations were then used to test the ability of various configurations to detect relevant headwords from the English and French Wiktionary, namely Covid-19 neologisms and related existing words that deserve updates.